Restatement generation method, system and equipment and computer readable storage medium

A technology for calculating formulas and words, which is applied in the fields of natural language processing and machine learning, and can solve problems such as complex grammar templates and low applicability of paraphrase generation methods

Pending Publication Date: 2019-06-25
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in existing paraphrase generation methods, grammar templates are complicated for users with insufficient language knowledge, and se

Method used

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  • Restatement generation method, system and equipment and computer readable storage medium
  • Restatement generation method, system and equipment and computer readable storage medium
  • Restatement generation method, system and equipment and computer readable storage medium

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Embodiment Construction

[0080] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0081] see figure 1 , figure 1 It is the first flow chart of a paraphrase generation method provided by the embodiment of this application.

[0082] A paraphrase generating method provided in an embodiment of the present application may include the following steps:

[0083] Step S101: Obtain source sentence words and keyword words to be repeated.

[0084] Step S102: Input the source sentence words and keyword words into the word embedding layer to generate word vectors correspond...

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Abstract

The invention discloses a restatement generation method, system and equipment and a computer readable storage medium. The method comprises: based on a sequence comprising a replication mechanism to asequence framework, calculating word vectors of source sentence words and keyword words; a context vector and an attention vector, the mode selection of each target word in the target sentence is determined; if the mode is a duplication mode, the mode is a duplication mode;, if yes, calculating probability distribution of the keyword set through a softmax function according to the output of the decoder; selecting the keyword with the maximum probability as a predicted target word to be copied to a target sentence, if the keyword is in a write-in mode, calculating probability distribution of the whole dictionary through a softmax function according to the output of a decoder, and selecting the word with the maximum probability as the predicted target word to be written into the target sentence; sequentially generating target words to obtain a whole target sentence; the generated restatement keywords conforming to the user given keywords can be directly copied from the original sentences, the matching conforming to the user habits is generated from the dictionary, and the applicability is high.

Description

technical field [0001] The present application relates to the technical fields of natural language processing and machine learning, and more specifically, relates to a paraphrase generation method, system, device, and computer-readable storage medium. Background technique [0002] Paraphrase refers to expressing a piece of text (sentence) in another piece of text (sentence) by using some different words, phrases or other language structures without changing the semantics of a piece of text (sentence). [0003] In natural language, paraphrase plays an important role. It is not only an important module in the NLP (Natural Language Processing, Natural Language Processing) system, but also an indispensable part of daily life. The existing paraphrase generation methods include: combining source Sentence input and a target grammar template to generate paraphrased target sentences. [0004] However, in existing paraphrase generation methods, grammar templates are complicated for u...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F17/22G06F17/24
Inventor 曾道建周冠宏
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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